Results 1 to 10 of about 1,047,164 (269)
Vector auto-regressive model (VAR) results’ versus auto-regressive distributive lags model (ARDL) results’ [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2021 The paper aims to test the possibility of getting the same results when applying two different econometric models in testing the relation between the development of financial sector and the economic growth in Egypt.
rania moawad
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Two-Threshold-Variable Integer-Valued Autoregressive Model
Mathematics, 2023 In the past, most threshold models considered a single threshold variable. However, for some practical applications, models with two threshold variables may be needed. In this paper, we propose a two-threshold-variable integer-valued autoregressive model
Jiayue Zhang, Fukang Zhu, Huaping Chen
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Variable Selection for the Spatial Autoregressive Model with Autoregressive Disturbances
Mathematics, 2021 Along with the rapid development of the geographic information system, high-dimensional spatial heterogeneous data has emerged bringing theoretical and computational challenges to statistical modeling and analysis.
Xuan Liu, Jianbao Chen
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AR, CR and ARCR modeling for simulations and analyses of karst groundwater quality parameters [PDF]
Geološki Anali Balkanskoga Poluostrva, 2018 Although an invisible component of the hydrologic cycle, groundwater generally takes precedence over other water resources in the area of drinking water supply.
Ristić-Vakanjac Vesna +4 more
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Applied Sciences, 2023 We present an any-to-one voice conversion (VC) system, using an autoregressive model and LPCNet vocoder, aimed at enhancing the converted speech in terms of naturalness, intelligibility, and speaker similarity.
Kadria Ezzine +2 more
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Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China [PDF]
Management Science Letters, 2019 Credit is an economic category and is also a product of the commodity economy, which exists through many socio-economic forms to promote economic growth. Therefore, the objective of this paper is to analyst, compare and forecast domestic credit growth in
Doan Van Dinh
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Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise
Mathematics, 2023 This paper presents an overview of the main methods used to identify autoregressive models with additive noises. The classification of identification methods is given. For each group of methods, advantages and disadvantages are indicated.
Dmitriy Ivanov, Zaineb Yakoub
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Applied Sciences, 2023 With the recent expansion of social media in the form of social networks, online portals, and microblogs, users have generated a vast number of opinions, reviews, ratings, and feedback.
Roop Ranjan +7 more
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Spatial Temporal Conditional Auto-Regressive Model: A New Autoregressive Matrix
Austrian Journal of Statistics, 2016 In the study of geographical patterns of disease, multivariate areal data models proposed so far in the literature (Ma and Carlin, 2007; Carlin and Banerjee, 2003; Knorr-Held and Best, 2001) have allowed to handle several features of a phenomenon at the ...
Leonardo Mariella, Marco Tarantino
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StackDA: A Stacked Dual Attention Neural Network for Multivariate Time-Series Forecasting
IEEE Access, 2021 Multivariate time-series forecasting derives key seasonality from past patterns to predict future time-series. Multi-step forecasting is crucial in the industrial sector because a continuous perspective leads to more effective decisions. However, because
Jungsoo Hong, Jinuk Park, Sanghyun Park
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